Autonomous Systems
A robot taking samples and collecting information on the moon is an
example of an autonomous system. It operates and carries out
missions independently. Regardless of its surroundings, it responds
with a certain intelligence. While traditional AI focuses on
cognition and reasoning as isolated abilities, we strongly believe
in perception as an active behaviour, which is integrated into
general cognition.

Cognitive Robotics
The courses taught in the area of cognitive robotics are related to
research in social robotics, to the origin of robotic communication
and to the way in which robots recognize movement. Research is
conducted at the Artificial Intelligence and Cognitive Engineering
Institute.

Multi-agent Systems
When a team of robots play football they have to communicate and
cooperate with each other. This is an example of a multi-agent
system. When designing these systems, techniques from computing
science and logic are combined with knowledge about the interaction
amongst humans and animals.

Autonomous SystemsA robot taking samples and collecting information on the moon
is an example of an autonomous system. It operates and carries out
missions independently. Regardless of its surroundings, it responds
with a certain intelligence. While traditional AI focuses on
cognition and reasoning as isolated abilities, we strongly believe
in perception as an active behaviour, which is integrated into
general cognition.

Cognitive RoboticsThe courses taught in the area of cognitive robotics are
related to research in social robotics, to the origin of robotic
communication and to the way in which robots recognize movement.
Research is conducted at the Artificial Intelligence and Cognitive
Engineering Institute.

Multi-agent SystemsWhen a team of robots play football they have to communicate
and cooperate with each other. This is an example of a multi-agent
system. When designing these systems, techniques from computing
science and logic are combined with knowledge about the interaction
amongst humans and animals.

'I came to Groningen for the Master's degree in Artificial
Intelligence because of the practical approach: half of the courses
I followed involved practical cases, which form a big part of each
course.

This works perfect for me because we are given the chance to
immediately test and play with all the knowledge which is handed to
us. This approach boosts the learning of a subject. It is great to
have the opportunity to discover and deepen the understanding of a
concept thanks to a supervised project.

I particularly focused my courses on robotics. Thanks to the
Alice Robotics department I had the opportunity to use the robots
of the Robolab, with which I did many projects.

Coming close to the end of my Master’s degree, I will
probably start working in a robotic-related company. Autonomous
navigation systems has always been one of my particular interests,
and after the possibility to study and practice those systems in
the Robolab, I'm looking forward to using my knowledge in my future
work.’

After doing her master's project in the USA, Trudy wanted to
continue to work on the edge of knowledge. She ended up back in
Groningen for a PhD project about the transfer of cognitive skills.
She builds computer models which show how humans learn new tasks
and tests them by comparing them to, for example, test scores or
brain activity. Using her models we can learn more about how your
brain uses what you already know to learn something new.